AI Research Engineer: Scalable ML & NLP

Thomson Reuters; Eagan (MN); Hybrid; USD 88,000 - 189,000; Full time

Benefits offered by this job

Hybrid Work Model

Career Development and Growth

Industry Competitive Benefits

Culture of inclusion and flexibility

Social Impact and volunteering

Job summary

Thomson Reuters Labs is seeking a Research Engineer to apply AI/ML expertise to data-driven capabilities across legal, tax, accounting, and government professionals worldwide. You will design, develop, and deliver scalable ML solutions, partnering with cross-functional and remote teams to drive innovations in a fast-paced environment.

The role emphasizes end-to-end delivery, an adaptable learner mindset, and collaboration with a global interdisciplinary team of experts in AI research areas to

Qualifications

• Bachelor's degree in CS or related field.
• 2+ years software engineering experience, ML/NLP preferred.
• Proficiency with Python and ML stacks.
• Ability to deploy ML in production systems.
• Experience with NLP tasks (NER, Information Extraction, IR).

Responsibilities

• Develop and deliver high-quality solutions across the full SDLC.
• Build scalable ML data pipelines and scalable systems for online environments.
• Collaborate with cross-functional and remote teams.
• Deliver timely solutions in a fast-paced environment.
• Be innovative and contribute end-to-end deliveries.
• Communicate effectively with partners and team members.

Skills

Python

ML

NLP

AWS/Azure

Distributed Systems

ML Ops

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow/PyTorch

SpaCy/NLTK

Scikit-learn

Job description

Thomson Reuters Labs is seeking a Research Engineer to apply AI/ML expertise to data-driven capabilities across legal, tax, accounting, and government professionals worldwide. You will design, develop, and deliver scalable ML solutions, partnering with cross-functional and remote teams to drive innovations in a fast-paced environment.

The role emphasizes end-to-end delivery, an adaptable learner mindset, and collaboration with a global interdisciplinary team of experts in AI research areas to